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A robust nonlinear mixed-effects model for COVID-19 death data
Statistics and its Interface, 2020The analysis of complex longitudinal data such as COVID-19 deaths is challenging due to several inherent features: (i) Similarly-shaped profiles with different decay patterns; (ii) Unexplained variation among repeated measurements within each country ...
Fernanda Lang Schumacher +4 more
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Nonlinear Mixed-Effects Modeling
2021Continuing from Chap. 6, this chapter illustrates the nonlinear MLM to estimate the additional between-group variation in addition to the within-group variation discussed in Chap. 6. For a detailed theory of nonlinear MLM (i.e., nonlinear mixed-effects model), interested readers can refer to the book by Pinheiro and Bates (Mixed-effect models in S and ...
Ding-Geng Chen, Jenny K. Chen
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Randomly Truncated Nonlinear Mixed-Effects Models
Journal of Agricultural, Biological, and Environmental Statistics, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Costa Mota Paraíba, Carolina +1 more
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Fast inference for robust nonlinear mixed-effects models
Journal of Applied Statistics, 2022The interest for nonlinear mixed-effects models comes from application areas as pharmacokinetics, growth curves and HIV viral dynamics. However, the modeling procedure usually leads to many difficulties, as the inclusion of random effects, the estimation process and the model sensitivity to atypical or nonnormal data.
José Clelto Barros Gomes +4 more
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Nonparametric estimation in nonlinear mixed effects models
Biometrika, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lai, Tze Leung, Shih, Mei-Chiung
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Estimating Data Transformations in Nonlinear Mixed Effects Models
Biometrics, 2000Summary.A routine practice in the analysis of repeated measurement data is to represent individual responses by a mixed effects model on some transformed scale. For example, for pharmacokinetic, growth, and other data, both the response and the regression model are typically transformed to achieve approximate within‐individual normality and constant ...
Oberg, Ann, Davidian, Marie
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Generalized quasi-linear mixed-effects model
Statistical Methods in Medical Research, 2022The generalized linear mixed model (GLMM) is one of the most common method in the analysis of longitudinal and clustered data in biological sciences. However, issues of model complexity and misspecification can occur when applying the GLMM.
Yusuke Saigusa, S. Eguchi, O. Komori
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